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DSD-INT 2018 Transnational projects for forecasting and flood warning w transboundary river basins in Africa - Jungermann

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Presentation by Nicole Jungermann (HKV Consultants) at the Delft-FEWS International User Days 2018, during the Delft Software Days - Edition 2018. 7 & 8 November 2018, Delft.

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DSD-INT 2018 Transnational projects for forecasting and flood warning w transboundary river basins in Africa - Jungermann

  1. 1. Transnational projects in the field of forecasting and warning of floods within transboundary river basins in Africa Delft 8th of November Nicole Jungermann and Mattijn van Hoek
  2. 2. What we will talk about • Who we are • The ECOWAS early warning ambition • Early warning platforms in the ECOWAS region • The challenge of region-wide early warning • Combining information into one platform
  3. 3. HKV, consultancy and research in water management and flood risk • Independent consultancy firm, founded in 1995 • 70 employees • Based in the Netherlands, offices in Delft and Lelystad • Specialized in: – Risk and Disaster Management – Rivers, Coasts and Deltas – Water and Climate – Products and Services • 10% of budget spent on research & development, PhD’s, internships and graduation projects • Clients: Governments, International Finance Institutions, European Commission, Private companies • We support the ten principles of the United Nations Global Compact
  4. 4. Countries active (in the past)
  5. 5. The project
  6. 6. ECOWAS
  7. 7. The ECOWAS Early Warning ambition
  8. 8. Early Warning Systems in the ECOWAS region • Several systems are already existing in the region • Different aggregations levels (basin, sub basin, region, district) • Different (financial) backgrounds: – World Bank – UNDP – Red Cross – H2020 initiatives – African Development Bank – ???
  9. 9. White Volta
  10. 10. Oti
  11. 11. Niger basin
  12. 12. The challenge of region-wide early warning • Production of redundant information • Inconsistency / contradiction • Use of existing information • Uniformity of warning levels • Accessibility of (satellite) data (internet!?) • Aggregation to administrative levels (national, region, etc.)
  13. 13. How to solve this challenge?
  14. 14. EWS-Oti EWS-Volta SATH-NBA .. .. timeSeriesExportRun timeSeriesImportRun EWS-ECOWAS A possible technical solutions
  15. 15. EWS-Oti EWS-Volta SATH-NBA .. .. FEWS PI GET timeseries (SOAP / REST) timeSeriesImportRun EWS-ECOWAS Or another?
  16. 16. EWS-Oti EWS-Volta SATH-NBA .. .. FEWS PI POST timeseries (SOAP / REST) EWS-ECOWAS FEWS PI GET timeseries (SOAP / REST) How safe is your FEWS PI webservice? Yet, another option…
  17. 17. Example of the web platform
  18. 18. Artificial Intelligence in the Water Sector https://ai.hkvservices.nl/european-catchments/ Open source packages published by HKV Consultants https://hkv-products-services.github.io/ - HKVSOBEKPy - HKVFEWSPy - HKVWAPORPy - FEWS Snow Modules - FEWS SPEI Modules - FEWS Muskingum Module
  19. 19. Thank you for your attention. N.Jungermann@hkv.nl M.vanHoek@hkv.nl

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